Royal Ocean Marine is seeking a detail-oriented and efficient Data Entry professional to join our client team. As a Data Entry, you will be responsible for inputting and updating various types of data into our database system accurately and efficiently.

Your responsibilities will include:

• Entering data from various sources into the database system
• Verifying the accuracy and completeness of data
• Sorting and organizing documents for data entry
• Performing regular data backups to ensure data integrity
• Generating reports and summaries based on the entered data
• Assisting with data analysis and interpretation as needed
• Maintaining data confidentiality and security
• No experience required
• Open to mature workers

We are looking for someone who has excellent attention to detail, strong organizational skills, and the ability to work efficiently in a fast-paced environment.

• Previous experience in data entry or a similar role is preferred
• Proficient in Microsoft Office Suite, especially Excel
• Excellent attention to detail and accuracy
• Strong organizational and time management skills
• Ability to work independently and meet deadlines
• Ability to maintain confidentiality of sensitive information
• Good communication and interpersonal skills

Chan Chee Meng

EA 07C3069

R1110620

What you’ll be doing:

• Working with business users to define requirements for new application functionality
• Developing, testing, supporting and maintaining all code for client applications
• Assisting the Project Manager with all aspects of project delivery
• Working as part of a team to deliver projects on time and on budget
• Analysing data and creating reports for clients, incorporating all findings
• Mentorship and training of junior developers

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Bigdata Data Engineer

• 10+ years of experience required in Big Data such as Hadoop
• Working Experience in ECS(Open Shift), Shell scripting
• Experience in Financial sector is an advantage
• Resource should be able to work with multiple stakeholders/teams
• Should be able to understand the application data model and able to explain the functional requirements to stakeholders
• Need to take the ownership for the tasks assigned and deliver them successfully
• Quick understanding the new concepts and application details
• Strong communication and presentation skills

Responsibilities:

• Structures the technical work of a portion of a project or a small project
• Provides technical leadership to team members
• Develops or assists in the development of technical strategy
• Creates or assists in the creation of project plans
• Assists in the design of the systems and application programs
• Manages, monitors and communicates the execution of a project plan, including quality and completion of own work while simultaneously monitoring the work of team members

Primary Objectives;

• To grow and boost Treasury’s Revenue and Franchise growth
• Networking with Correspondent Banks to identify business opportunities, and to promote cross referral businesses.
• Market to foreign/domestic correspondent banks to grow Treasury’s business/product lines
• Management of Correspondent Banking Relationship including Nostro/Vostro Accounts
• To assist Group FI in Singapore Branch’s FI relationship with Global Banks
• To assist Treasury in building relationship to obtain stable funding
• To provide new FI solutions/products to Treasury/Branch
• To conduct initial and regular due diligence/AML/Related/Connected Party screenings for Treasury’s FI/NBFI/vendors
• To manage/maintain Treasury’s static data in systems (as assign)
• Any other ad-hoc duties or projects as assigned by Head of Treasury

Key Responsibilities;

FI Relationship Management

• Manage FI Relationship & promote Treasury products & cross referral business to gain incremental revenue income

• Conduct meetings and discuss with FI/NBFI relationship managers for prospective business opportunities
• Establish close relationship and improve counterparty networking to obtain sufficient Treasury lines
• To provide new FI products/solutions for Treasury/Branch
• To liaise with GFI in establishment of RMA/banking lines
• Manage issues relating to FATCA CRS, Audit & Compliance

Financial Perspective

• Explore and market to banks globally to setup partnership to boost Treasury and HO’s business opportunities
• Cross sell of existing Treasury/FI Products to generate and increase revenue
• Identify opportunities with agent banks to target business growth
• Support the Department/Division Head in the delivery of banking services to meet the Department/Division’s revenue targets. 

FI Support and Advisory

• Provide support /advisory role Treasury and Branch on queries relating to international FI business
• Provide FI solutions and support from agent banks for their international payment, trade and treasury support requirements

Customers / Client Coverage

• Build and maintain effective relationships with correspondent banks/NBFIs to understand their needs in order to provide a high quality of service.
• Build new relationships and identify new target markets to grow Treasury and GFI’s services/products
• Develop and maintain strong stakeholder management with key stakeholders both internally and externally
• Negotiate with correspondent banks on matters with regards to services fees and pricing, as well as seek solutions to finalize new/potential business transactions.

• 5+ years of IT experience with hands-on expertise in data analysis and Oracle SQL /UNIX Scripting.
• Experience in Financial sector is an advantage
• Resource should be able to work with multiple stakeholders/teams
• Should be able to understand the application data model and able to explain the functional requirements to stakeholders
• Need to take the ownership for the tasks assigned and deliver them successfully
• Quick understanding the new concepts and application details
• Strong communication and presentation skills

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Job Description

At its core, this is a principal software architect position - with prior working experience as a software developer implementing, e.g., modern distributed systems, cloud-based data lakes, and open-source data engineering platforms. The successful candidate will play a lead role in the Data Engineering and Analytics team of Scoot’s Information Technology Division.

Key Responsibilities

• Provide technical leadership and guidance for data engineers in Scoot. Drive the overall technical vision and roadmap for evolving Scoot’s distributed data management systems and data analytics.
• Be an effective implementer and technical mentor for the team in the following core activities:Design and develop new systems architecture for data engineering services and their ecosystem, including distributed databases (relational, columnar, graph, in-memory); cloud DevOps with IaC (Infrastructure-as-Code); and other big data technologies.
  Maintenance and evolution of existing Google Cloud data warehouse/data lake systems.
  Design data models for mission-critical and high-volume near-real-time data; build idempotent/atomic production data pipelines to make data ingestion robust and fault tolerant.
• Assist in the stakeholder management and resolve resource conflicts within or between agile teams. Lead projects involving high level of coordination among departments and business areas.
• Any relevant ad-hoc duties.

Requirements

• BS degree in Computer Science or a related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 7 years or more relevant industry experience in the following technical areas:

1. At least intermediate-level knowledge and experience with Google Cloud and its best practices. AWS cloud experience is a plus.
2. Advanced programming skills in Python. Conversant with data structure, algorithm design/analysis, and SQL. Substantial exposure on functional/object-oriented programming using a modern programming language (such as Scala, Java, C#, and TypeScript/JavaScript) is a plus.
3. Exposure in the use of workflow/map-reduce and stream processing systems for big-data processing, such as Spark and Kafka.
4. In-depth understanding of modern ETL methodologies. Experience in building data pipelines using modern data ingestion platforms, including open-source ones.
5. Experience in the deployment of object stores and data warehouses - such as Amazon S3, and Google GCS and BigQuery.
6. Experience in modern software development is a plus (such as in web frontend UI and backend API microservice).

• Proven experience in technical leadership. Capable of mentoring a data engineering team in delivering on multiple competing priorities with little supervision. Seasoned resource estimation, planning, and negotiation skills to work with diverse stakeholders.
• Prior experience with managing software development teams using Agile/Scrum/Kanban methodology is a plus.

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
  Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
  Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
  Design and develop intuitive, highly automated, self-service data platform functions for business users.
• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:Advanced programming skills in Python. Conversant with data structures and algorithm design.
  Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
  Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
  Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

Job Description

The Data Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.

Key Responsibilities include:

• Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines.
• Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.
• Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.
• Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.
• Design, build and manage data marts to satisfy our growing data needs.
• Any other ad-hoc duties.
• This is an individual contributor role.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS degree in Computer Science or a related technical field. MS or PhD degree is a plus.
• Python development experience in production environment is required.
• More than 2 years of SQL (such as PostgreSQL, Oracle, AWS Redshift, GCP Big Query, or Hive) experience is required. NoSQL experience is a plus.
• More than 2 years working with Linux OS. Knowledge of networks and cybersecurity is a plus.
• Experience working with infrastructure-as-code systems like AWS CloudFormation. DevOps, AWS and GCP experience is a plus.
• Experience in working with a commercial ETL tools like Ab Initio and Talend would be a plus.
• Experience in ETL pipeline design, implementation and maintenance.
• Experience working with visualization tools (specifically Tableau would be preferred).
• Ability in analysing data to identify deliverables, gaps and inconsistencies.
• Ability in managing and communicating data mart plans to internal customers.

The SVP - Data Analytics Lead is a senior management-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning.

Responsibilities:

• Manage multiple teams of business analysts supporting multiple systems or over a business analysis functional area (depending on size of business) with responsibilities including work allocation, budget and planning, performance evaluation, compensation, staffing and other duties as assigned
• Provide technical leadership and expertise to ensure the efficient design, development and implementation and to ensure essential procedures are followed
• Act as subject matter expert for Data Analytics requests and projects, working with internal stakeholders and team resources to oversee project deliveries.
• Responsible for solutioning using the technology platforms available in Citi's Technology Ecosystem
• Resolve issues that have impact beyond own area and apply in-depth understanding of business analysis concepts and procedures and basic knowledge of other areas
• Work as a team to achieve objectives and influence and negotiate with senior leaders across functions, communicating with external parties as needed
• Provide evaluative judgment based on analysis of information in complicated, unique and dynamic situations, drawing on diverse range of internal and external sources
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 10+ years of relevant experience
• Proficient with Hadoop, Python, Tableau, Collibra, Data Quality, SAS Tools with strong understanding of Data Governance
• Demonstrated leadership
• Consistently demonstrate clear and concise written and verbal communication
• Proven stakeholder management skills with ability to hold themselves in discussion with Senior Stakeholders
• Proven interpersonal skills with ability to partner and influence across organizational lines
• Proven ability of using complex analytical, interpretive and problem-solving techniques

Education:

• Bachelor's degree/University degree or equivalent experience

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++-$4000++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.

Required Professional and Technical Expertise :

Experience as a Lead: 5+ years, should pose a strong character in leading a small team.

▪ Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.

▪ At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.

▪ At least 5 years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issues.

▪ Professional experience working in an agile, dynamic and customer facing environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred to have.

▪ Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.

▪ Atleast 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

▪ Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

▪ Technical expertise with data models, data mining and segmentation techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Entry level, Degree holder in Chemical Engineering
• 12 hours shift rotational work
• Jurong Island with transport pickup
• Basic $3,300 + $1,100 Fixed Allowances + Night Shift + AWS + VB + Flexi Benefits

Job Responsibilities

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.

Requirements

• Possess Degree in Chemical Engineering or its equivalent, experience in petroleum, chemical or polymer industries added advantage.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2500-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Remuneration Package: Up to $3,300 + Fixed Allowances of $1,100 
• Location: Jurong Island (Company Transport Provided at Designated Points) 
• Shift Job: 12 Hours, Rotating AM and PM Shifts 

Are you a fresh graduate with a degree in Chemical Engineering? Ready to jumpstart your career in a dynamic and cutting-edge environment? Join our client, a reputable chemical manufacturing company, where you will work with the latest manufacturing technology and advanced engineering control systems. Lead a team of skilled technicians and ensure smooth and safe plant operations while gaining invaluable experience in process optimization and quality conformance.

Responsibilities:

• Lead and Oversee: Guide a team of Production Technicians to ensure the safe and efficient running of production processes.
• Support Process Engineering: Assist the Process Engineer in conducting activities and projects to optimize operations and achieve cost efficiency.
• Troubleshoot and Resolve Issues: Address plant, equipment, and quality issues promptly and recommend effective countermeasures.
• Maintain Equipment Integrity: Monitor plant equipment to ensure reliability and integrity.
• Optimize Operations: Support shift operations by providing optimal operating conditions for stable plant performance and high product quality.
• Train and Develop: Mentor and develop team members to enhance their skills and performance.

Requirements:

• Educational Background: Degree in Chemical Engineering or equivalent.
• Technical Skills: Knowledge of process control, troubleshooting, plant equipment, and instrumentation.
• Key Attributes: Strong analytical and technical report writing skills, leadership qualities, initiative, drive, commitment, ability to handle pressure, and excellent communication skills.

If you are ready to embark on an exciting career journey and make a significant impact in the chemical industry, we want to hear from you!

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2500-$2600+OT+allowances>$3K

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2500+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

We are looking for a talented Data Engineer (Remote) to join our team and contribute to building our data platform, utilizing cutting-edge technologies such as Dagster, Starburst, and S3 in its architecture. 

This is a 100% remote position, following Singapore hours, therefore candidates must be based in the similar timezone.  

What you will do : 

• Design, develop, and maintain robust ELT pipelines for data ingestion, processing, and storage.
• Our tools of choice are: Dagster for orchestration, Starburst (Trino-based) Galaxy as a query engine, dbt for transformations, and Amazon S3 + Iceberg for an open data lakehouse.
• Implement and manage a data platform using modern data stack.
• Centralize data from multiple diverse sources into the data lakehouse.
• Collaborate with data science and analytics teams to understand data needs and provide optimal solutions.
• Ensure data quality, integrity, and governance.
• Optimize the performance of data management systems and troubleshoot technical issues related to data flows.
• Participate in the automation of data processes and continuous integration/continuous deployment (CI/CD) of data workflows.

We are seeking a talented and experienced Spark Scala Developer with expertise in Elasticsearch to join our team. As a Spark Scala Developer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus.

•           Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

•           Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

•           Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

•           Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

•           Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

•           Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

•           Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

•           Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

•           Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation

•           Strong experience in developing Spark applications. Experience with Spark Streaming is a plus

•           Proficiency in Scala programming language and familiarity with functional programming concepts

•           In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL

•           Experience integrating and working with Elasticsearch for data indexing and search applications

•           Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization

•           Experience with distributed computing, parallel processing, and working with large datasets

•           Familiarity with big data technologies such as Hadoop, Hive, and HDFS

•           Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries

•           Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

•           Familiarity with version control systems (e.g., Git) and collaborative development workflows

•           Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

• Salary: Up to $2300 + Fixed Allowances $800 + Night Shift Allowances
• Location: Jurong Island, Company Transport Provided at Jurong East
• Benefits: Permanent Role with AWS and Variable Bonus
• Shift Work: 12 Hours Shift

Responsibility

• Operate Plant and Site Services: Follow written and verbal instructions to safely and efficiently operate plant(s), site services, and handle vehicle loading/unloading.
• Safety and Efficiency Improvements: Suggest and implement ideas for safety and efficiency improvements, working in multi-disciplinary teams.
• Communication: Communicate effectively with the production team and other site functions (e.g., maintenance, planning, logistics) through verbal, email, and written methods.
• Health and Safety Accountability: Ensure personal and team health and safety by following site-specific SHE standards, including risk assessment, permit compliance, and incident reporting.

Requirements

• NITEC / Diploma in Chemical Engineering
• Entry level or junior candidates with 1-3 years experience in chemical, petrochemical, or oil & gas industry
• Willing to work in 12 hours shift

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661